ArticleQuarterly review of distance education2019
Enhancing the Impact of Mobile Health Literacy Interventions to Reduce Health Disparities.
Article in Quarterly review of distance education, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- Correlates of Engagement Within an Online HIV Prevention Intervention for Single Young Men Who Have Sex With Men: Randomized Controlled Trial.JMIR public health and surveillance · 2022Trial
- The association between health literacy and out-of-pocket health expenditure: exploring heterogeneity by chronic disease in Zhejiang, China.International journal for equity in health · 2026Article
- A mobile app for chronic disease self-management for individuals with low health literacy: A multisite randomized controlled clinical trial.Journal of ageing and longevity · 2024Article
- A mobile app providing individually-tailored psychoeducation about sleep for older adults with chronic health conditions and low health literacy.Journal of psychiatry research reviews & reports · 2024Article
- Can a Study That's Not Statistically Significant Be Meaningful?American journal of aging science and research · 2024Article
- Developing Message Strategies to Engage Racial and Ethnic Minority Groups in Digital Oral Self-Care Interventions: Participatory Co-Design Approach.JMIR formative research · 2023Article
- A mobile app for chronic disease self-management for individuals with low health literacy: A multisite randomized controlled clinical trial.medRxiv : the preprint server for health sciences · 2023Article
- Chronic Disease Self-Management of Post-Acute Sequelae of COVID-19 Among Older Adults: A Mixed-Methods Analysis.Clinical interventions in aging · 2023Article
- Article
- Patient activation and medication adherence in adults.Journal of the American Pharmacists Association : JAPhAArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Health literacy is a key factor in health outcomes that should be considered when creating mobile health promotion apps. In this paper, we detail our work over the past 10 years in developing the theory and practice of targeting the content of mobile apps at a level appropriate for the intended audience. We include a review of our theory of health literacy as expertise, the ASK model, and integrate it with the Theory of Planned Behavior. We then provide data that support both the model and its use. More recently, we have developed a predictive analytic model that uses demographic information and patient performance on a 10-item screening measure to determine patient level of health literacy at a high level of accuracy. The predictive model will enable apps to automatically provide content to users at an appropriate level of health literacy. This strategy, along with other aspects of tailoring, will allow apps to be more personally relevant to users, enhancing their effects in promoting health behavior change.
Identifiers
31537979PMC6752043What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.